Topographical systematization of human placenta model for training in microneurosurgery.

BACKGROUND: Neurosurgical training continuously seeks innovative methods to enhance the acquisition of essential technical skills for neurosurgeons worldwide. While various training models have been employed, few truly replicate real-life conditions optimally. Human placenta is a good model for neurosurgical microsurgery training due to its anatomical similarities to neurovascular structures. Placental vessels exhibit a branching pattern and caliber comparable to intracranial vessels, making them suitable for practicing microsurgical techniques.

OBJECTIVE: The study aims to delineate the anatomical zones of the placenta and propose a segmented training model, resulting in a reproducible, cost-effective, and realistic neurosurgical microsurgery training environment.

METHODS: Twenty human placentas were meticulously prepared, injected with dyes, and categorized into zones based on anatomical features. Measurements of placental vessels were recorded and compared to cerebral vessels. The placenta was divided into four quadrants to facilitate specific training techniques.

RESULTS: Our results revealed varying vessel diameters across placental zones, closely resembling cerebral vessels. Different microsurgical techniques were applied to specific placental zones, thereby optimizing training scenarios. The applicability section described exercises such as membrane dissection, vessel skeletonization, aneurysm creation, vascular bypass, and tumor dissection within the placental model, providing detailed guidance on the zones suitable for each exercise.

CONCLUSION: Human placenta serves as an effective microsurgical training model for neurosurgery, enhancing neurosurgeons' skills through anatomical segmentation. Integrating this model into training programs can significantly contribute to skill acquisition and improved surgical outcomes. Further research is warranted to refine and expand its utilization, complemented by clinical experiences and other simulation tools.